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Data Scientist Lead

Data Scientist Lead

Job Title: Data Scientist Lead
Location: Gauteng
Industry:
Salary: 850000.00
Reference: JN -052017-8508
Job Published: September 20, 2017 11:15

Job Description

Data Scientist Lead
 
The incumbent is responsible to advocate, evangelize and build data-fuelled products that help our business improve customer growth and retention. You’ll dig in and become an expert on the Group Companies datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.
You will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions for all Group companies. You will research, design, implement and validate cutting-edge algorithms to analyse diverse sources of data to achieve targeted outcomes.
You will play a central role in the formulation and realization of our Big Data Strategy.  Insight and participation in the (Apache/Continuum) ecosystem is required, as well as hands-on experience with some of the important components.  Together with the data engineer, you will utilize, maintain and upgrade the current Big Data Platform (see below).
As our data scientist, you will provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization.
 
Key Responsibility Areas
 
Core Functions:
 
  • Understand each companies data sets
  • Data architecture
  • Analytics infrastructure architecture
  • Data sourcing
  • Data modelling
  • Interactive data exploration and data-driven story-telling
  • Machine Learning / Predictive Modelling / Data Mining
  • Model productionisation from analysis to action
  • Data quality assurance
  • Data sensitivity and security
  • Engagement with business to understand data sources, business models and value drivers
  • Collaboration with business to deliver innovative data driven applications
  • Communicate process, results and limitations to business
  • Evangelise data in the Blue Label Group
 
Competencies
 
The incumbent displays the following competencies:
 
  • Ability to identify opportunities and capitalise on them
  • Ability to Organise
  • Ability to take initiative
  • Ability to work under pressure and meet deadlines
  • Accountability
  • Achievement driven
  • Attention to detail
  • Effective communication skills
  • Analysis
  • Attention to detail
  • Business approach
  • Business knowledge
  • Communication
  • Conflict management
  • Consulting
  • Flexibility
  • Information seeking
  • Innovation
  • Integrity
  • Judgment
  • Learning ability
  • Managing complexity
  • Resilience – stress tolerance
  • Responsibility
  • Self-management
  • Sensitivity
  • Teamwork
  • Time management
 
Skills/Requirements
 
  • Business planning & execution
  • Demonstrates initiative with a results orientation
  • Detailed, orientated and able to handle multiple tasks at one time
  • Excellent written and verbal communications
  • Good business acumen
  • Good interpersonal skills
  • Good organization skills
  • High level Technical understanding
  • Incumbent must have a good command of the English Language
  • Incumbent must have a valid driver’s license
  • Keen project management skills with an ability to interact with and motivate others to succeed on several fronts simultaneously
  • Presentation skills
  • Prioritizes workload and meets deadlines for a variety of marketing "deliverables"
  • Problem solving skills
  • Professional
  • Results orientated
  • Self-motivated and able to work as a member of a team
  • Service orientated
  • Strong analytical, technical and mathematical abilities
  • Strong knowledge of business models
  • Business process modeling
 
Education & Qualification
 
  • Ph.D. or Master’s Degree in operations research, applied statistics, applied mathematics, physics, data mining, machine learning or a related quantitative discipline
  • Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools.
  • Fluent with both relational algebra and MapReduce logic.
  • Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
  • Accomplished in the use of statistical analysis environments such as R, scikit-learn, MLlib, MATLAB, SPSS or SAS
  • Sound knowledge of business principles
  • Familiar with tools that encourage reproducibility and collaboration; Jupyter, Zeppelin, RStudio, git
  • Experience with enterprise BI; QlikView, Lumira, Tableau, Zoomdata, Cognos, SAP BW, SSRS, …
  • Experience with enterprise ETL; SSIS, SAP DS, IBM DataStage, Pentaho, …
  • Development experience in order of preference: Python, C/C++, Java
  • Advanced Linux user.
  • Microsoft Office; Word/Excel/Powerpoint/Outlook as well as modern collaboration tools (JIRA, splunk, Yammer, Confluence …)
  • 5+ Years Business Analysis Experience